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Voting Based Image Binarization

Author

Listed:
  • Costin-Anton Boiangiu

    ("Politehnica" University of Bucharest, 060042 Bucharest, Romania)

  • Mihai Simion

    ("Politehnica" University of Bucharest, 060042 Bucharest, Romania)

  • Vlad Lionte

    ("Politehnica" University of Bucharest, 060042 Bucharest, Romania)

  • Zaharescu Mihai

    ("Politehnica" University of Bucharest, 060042 Bucharest, Romania)

Abstract

In the literature there are a wide variety of algorithms for image binarization, the difference between them being the method that identifies the pixel threshold value. They can be split into two classes: algorithms that use a single threshold for the entire image (and tend to identify a few large objects) and algorithms that do the processing in localities (and tend to identify many small items).

Suggested Citation

  • Costin-Anton Boiangiu & Mihai Simion & Vlad Lionte & Zaharescu Mihai, 2014. "Voting Based Image Binarization," Romanian Economic Business Review, Romanian-American University, vol. 8(2), pages 343-351, December.
    • Handle: RePEc:rau:journl:v:8:y:2014:i:2:p:343-351
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    File URL: http://www.rebe.rau.ro/RePEc/rau/jisomg/WI14/JISOM-WI14-A13.pdf
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    Citations

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    Cited by:

    1. Costin-Anton Boiangiu & Radu Ioanitescu & Razvan-Costin Dragomir, 2016. "Voting-Based Ocr System," Romanian Economic Business Review, Romanian-American University, vol. 10(2), pages 470-486, December.

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